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Nubificus LTD participates in the ICT-40-2020 SERRANO Project (H2020 GA No 101017168): Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum, which kicked off in January 2021 and will last three years. SERRANO consortium consists of 11 partners from industry and academia. SERRANO investigates the transparent deployment of applications in a secure and accelerated infrastructure of edge, cloud and HPC resources, based on FPGAs, GPUs, Virtual Platforms and Smart NICs, while facilitating their automated and cognitive orchestration.

SERRANO investigates the transparent deployment of applications in a secure and accelerated infrastructure of edge, cloud and HPC resources, based on FPGAs, GPUs, Virtual Platforms and Smart NICs, while facilitating their automated and cognitive orchestration.

Nubificus LTD will lead the development of lightweight mechanisms to enable workload isolation and trusted execution in multi-tenancy nodes, hardware acceleration abstractions for serverless workloads and the development of resource orchestration and lightweight virtualization mechanisms.

• SERRANO website: https://ict-serrano.eu
• Twitter: https://twitter.com/ProjectSerrano
• LinkedIn: https://www.linkedin.com/company/serrano-project
• Researchgate: https://www.researchgate.net/project/SERRANO-Transparent-Application-Deployment-in-a-Secure-Accelerated-and-Cognitive-Cloud-Continuum

Today, Nubificus LTD introduced vAccel support on AWS Firecracker, opening the door for enabling hardware acceleration for serverless computing.

With a slim design and precise abstractions, vAccel semantically exposes hardware acceleration features to users with little to no knoweldge of software acceleration framework internals.

Serverless computing workflows are now able to enjoy compute-offload mechanisms to provide AI/ML services as functions, triggered thousands or millions of times by events, on-demand, auto-scaling to multiple physical and virtual nodes.

The core of vAccel is the runtime system, essentially a library, that translates complicated compute frameworks to meaningful functions that users can directly call. These frameworks, commonly used on hardware accelerators, such as TensorRT, Tensorflow, Jetson-inference, or even lower-level abstractions such as CUDA, OpenCL, OpenACC, are now easily usable by the end-user via vAccel. Moreover, vAccel offers a virtualization backend, facilitating the execution of functions on Virtual Machines. Apart from support for AWS Firecracker, QEMU/KVM support is also availabe.

End-users can get a sneak peek at what vAccel on AWS Firecracker has to offer on the project’s website, on github, or on-prem, by using the distributed binaries, or just a container image. To get started, follow one of the tutorials currently available at https://blog.cloudkernels.net